Asmy Veeran Kutty Subaida Shafna, Natarajan Jeyakumar
Data Mining and Text Mining Laboratory, Department of Bioinformatics, Bharathiar University, Coimbatore, Tamilnadu 641046, India.
Genomics Inform. 2022 Sep;20(3):e26. doi: 10.5808/gi.22029. Epub 2022 Sep 30.
Diabetes and its related complications are associated with long term damage and failure of various organ systems. The microvascular complications of diabetes considered in this study are diabetic retinopathy, diabetic neuropathy, and diabetic nephropathy. The aim is to identify the weighted co-expressed and differentially expressed genes (DEGs), major pathways, and their miRNA, transcription factors (TFs) and drugs interacting in all the three conditions. The primary goal is to identify vital DEGs in all the three conditions. The overlapped five genes (AKT1, NFKB1, MAPK3, PDPK1, and TNF) from the DEGs and the co-expressed genes were defined as key genes, which differentially expressed in all the three cases. Then the protein-protein interaction network and gene set linkage analysis (GSLA) of key genes was performed. GSLA, gene ontology, and pathway enrichment analysis of the key genes elucidates nine major pathways in diabetes. Subsequently, we constructed the miRNA-gene and transcription factorgene regulatory network of the five gene of interest in the nine major pathways were studied. hsa-mir-34a-5p, a major miRNA that interacted with all the five genes. RELA, FOXO3, PDX1 and SREBF1 were the TFs interacting with the major five gene of interest. Finally, drug-gene interaction network elucidates five potential drugs to treat the genes of interest. This research reveals biomarker genes, miRNA, TFs, and therapeutic drugs in the key signaling pathways, which may help us, understand the processes of all three secondary microvascular problems and aid in disease detection and management.
糖尿病及其相关并发症与各种器官系统的长期损害和功能衰竭有关。本研究中考虑的糖尿病微血管并发症包括糖尿病视网膜病变、糖尿病神经病变和糖尿病肾病。目的是确定在所有这三种情况下共同表达和差异表达的加权基因(DEGs)、主要途径及其相互作用的miRNA、转录因子(TFs)和药物。主要目标是在所有这三种情况下确定重要的DEGs。来自DEGs和共同表达基因的五个重叠基因(AKT1、NFKB1、MAPK3、PDPK1和TNF)被定义为关键基因,它们在所有三种情况下均有差异表达。然后对关键基因进行蛋白质-蛋白质相互作用网络和基因集连锁分析(GSLA)。关键基因的GSLA、基因本体论和途径富集分析阐明了糖尿病中的九条主要途径。随后,我们构建了九条主要途径中五个感兴趣基因的miRNA-基因和转录因子-基因调控网络。hsa-mir-34a-5p是与所有五个基因相互作用的主要miRNA。RELA、FOXO3、PDX1和SREBF1是与五个主要感兴趣基因相互作用的转录因子。最后,药物-基因相互作用网络阐明了五种治疗感兴趣基因的潜在药物。这项研究揭示了关键信号通路中的生物标志物基因、miRNA、转录因子和治疗药物,这可能有助于我们理解所有三种继发性微血管问题的过程,并有助于疾病的检测和管理。